Results 131 to 140 of about 12,736,310 (369)
THE ARTIFICIAL PRODUCTION IN MAMMALIAN PLASMA OF SUBSTANCES INHIBITORY TO THE GROWTH OF CELLS [PDF]
, 1915 Albert Walton
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Advanced Engineering Materials, EarlyView.In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi +4 more
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Spontaneous and artificial development of giant cells in vitro [PDF]
, 1913 Grover C. Weil
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Advanced Engineering Materials, EarlyView.Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
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Artificial Lipid Membranes: Past, Present, and Future
Membranes, 2017 The multifaceted role of biological membranes prompted early the development of artificial lipid-based models with a primary view of reconstituting the natural functions in vitro so as to study and exploit chemoreception for sensor engineering.
Christina G. Siontorou +3 more
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TREATMENT IN CASES WHERE SYMPTOMS POINT TO INFLAMMATION IN THE MASTOID ANTRUM AND MASTOID CELLS, BUT WHICH DO NOT CALL FOR AN ARTIFICIAL OPENING IN THE MASTOID PROCESS [PDF]
, 1889 HENRY L. MORSE
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Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
Advanced Engineering Materials, EarlyView.This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani +4 more
wiley +1 more source
Studying complex adaptive systems using molecular classifier systems [PDF]
, 2007 Complex Adaptive Systems (CAS) are dynamical networks of interacting agents occurring in a variety of natural and artificial systems (e.g. cells, societies, stock markets). These complex systems have the ability to adapt, evolve and learn from experience.
Decraene, James +2 more
core
Advanced Engineering Materials, EarlyView.This study explores aerosol jet‐printed (AJP) surface roughness, its effects on the performance of microwave electronics, and its process contributors. First, an electromagnetic model is vetted for AJP's unique roughness signature. Simulations are built which show process‐induced roughness is as significant as conductor resistivity in driving microwave
Christopher Areias, Alkim Akyurtlu
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Advanced Engineering Materials, EarlyView.Laser powder‐bed fusion (L‐PBF) can produce dense WE43 magnesium alloy parts, but their mechanical properties are limited by a nonhomogeneous microstructure. This study investigates the effects of varying direct aging (T5) and artificial age‐hardening (T6) conditions on microstructure and strength. Optimized T6 treatment significantly improves strength
Prathviraj Upadhyaya +5 more
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